Enthusiast builds LLM from scratch in free google colab—because who needs million-dollar gpus when you've got browser tabs and pytorch legos

A comprehensive guide to building a Large Language Model (LLM) from scratch has been initiated, inspired by Sebastian Raschka's book "Build a Large Language Model (From Scratch)". The project utilizes Google Colab as the primary workspace, eliminating the need for expensive hardware and providing access to powerful GPUs and TPUs. PyTorch, a deep learning library, is employed to construct the model, with its hierarchy of tensors, autograd, and nn.Module facilitating the creation of the LLM. The project is open-source, and the code is available on GitHub. By using Google Colab, users can focus on the concepts without worrying about installation or hardware issues. The project aims to demystify the process of building an LLM, making it accessible to a wider audience. With the environment configured and libraries ready, the series is set to explore the fundamentals of LLMs, starting with the question of what a true LLM is. The initiative has the potential to democratize the study of artificial intelligence, making it more inclusive and accessible to individuals without extensive hardware resources.